There are no reviews yet. Be the first to send feedback to the community and the maintainers!
deeplearning-units
๐ง ๐ง๐ปโ๐ป Repository for the Deep Learning course labs/practica (UniTS, Spring 2024)probml-units
๐ฒ๐ง๐ปโ๐ซ Repository for the Probabilistic Machine Learning labs/practica (@ UniTS, Spring 2023)ebtorch
๐ค๐ฅ Collection of PyTorch additions, extensions, utilities, uses and abusesfoveatorch
๐๐ฅ Differentiable foveated vision for Deep Learning methodswsl2-linux-kernel-clearsky
[AUTO-RELEASE] Sources of latest WSL2 Linux kernel from Microsoft, with graysky2's patchsetpersaturam
Because using gists is good... until they become too many to manage!CARSO
๐๐ก๏ธ Code for the paper โCarefully Blending Adversarial Training and Purification Improves Adversarial Robustnessโ by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)aistack
An automatically-bootstrapped AI research environment with (huge, maybe too much) batteries includedxmonolisa
MonoLisa NerdFonts Complete patching machinery (adaptation of https://github.com/adam7/delugia-code)HinTorch
A critical, ๐ฅPyTorch-flavoured attempt at reproducing the results of ๐"Learning representations by back-propagating errors" (Nature, 1986) by Rumelhart, Hinton and Williams.clearer-manjaro-kernel
Manjaro Linux kernel + some Clear Linux patches + parts of XanMod patchset + BitMap Queue Scheduler + some additional patches/tweaks | Now tracking Linux 5.5carso-msc-thesis
LaTeX source and related material for my M.Sc. thesis in Deep LearningRADLER
[Partial] RADLER: (adversarially) Robust Adversarial Distributional LEaRnerstatmeth-hw01
Statistical Methods for Data Science @ UniTS (Spring '20) - Homework 01 - Group "B"clearer-manjaro-kernel-acpi-call
acpi-call extramodules for clearer-manjaro-kernel | Now tracking Linux 5.5graalvm-ee-archlinux
GraalVM Enterprise Edition PKGBUILDsthesis-bsc-physics
LaTeX & friends for my B.Sc. (Physics) thesis about a novel approach toward Deep Learning adversarial robustnessBSTDplate
High performance, super-opinionated, BST as a STD (Tem)plate, in modern C++.clearer-manjaro-kernel-nvidia
Nvidia extramodules for clearer-manjaro-kernel | Now tracking Linux 5.5pyromaniac
๐ฅ Collection of PyTorch uses and abusesalgodes
Algorithmic Design homework, code (in C) and other goodies. (UniTS, Spring 2020)fhpc_assignments_2019-2020
Assignments and related code for the FHPC classes by UniTS/SISSA/ICTP (a.a. 2019/2020)RDDL
Rapid Deployment Deep Learningthe-last-suppR
Statistical Methods for Data Science @ UniTS (Spring '20) - Homework 05 - Group "E"distnbody-hm
MPI/OpenMP-parallel gravitational collisional N-body simulator via modern C++ and hypermodularitydotnet-archlinux-done-right
Collection of tweaked and updated PKGBUILDs to install a full .NET Core/Mono development environmenttreeleaves-as-tree-leaves
Using (mostly) trees to classify (mostly) tree leaves. Just trees of a different kind. In R.neural-toys
Old stuff related to (part of) coursework on Neural Networks and Machine Learningemaballarin.github.io-comments
utteranc.es-powered comment system for ballarin.cc / emaballarin.github.ioDifFULl
Fully Differentiable Unsupervised Learning (coursework... and beyond!)upgit_store
Storage repository for publicly-accessible images uploaded with https://github.com/pluveto/upgitAoC-2021
Advent of Code 2021 (no guarantees, attempt of) as a data scientist should: i.e. never looping over dataxcartographcf
CartographCF NerdFonts Complete patching machinery (adaptation of https://github.com/adam7/delugia-code)financial-wholenamycs
Whole-system multidimensional financial time series prediction and simulation from timestamped prices only (attempt of)pip_install_if_missing
๐ฆ Easily install Python packages if they are missing. Thought for Colab-like disposable environments.MagiskBetterDNS
Use a hybrid Cloudflare (default) / Google (fallback) DNS system-wide on a Magisk-rooted Android devicecathode
Putting [A]NODEs ([Augmented] Neural ODEs) to work, for Time Series prediction and simulationfastwonn
๐๐ฅFast, GPU-friendly, differentiable computation of Intrinsic Dimension via Maximum Likelihood, the TwoNN algorithm, and everything in between!nmc-numpyro
๐ฒ๐ฅ Unofficial implementation of Newtonian Monte Carlo MCMC sampling algorithm (after Arora et al., 2020) in JAX/NumPyro, with full NumPyro-API compatibilityLove Open Source and this site? Check out how you can help us